Acceldata

Data observability platform improving data reliability

Software Engineer - Open Data Platform, ODP

Software EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

At least 4 years of experience in software engineering.
At least 2–3 years of active contributions to open-source projects.
Ability to work in fast-moving, customer-facing environments.
Strong coding, debugging, and troubleshooting skills to resolve issues, enhance software applications, and ensure smooth deployment.
Ability to communicate technical accomplishments and strategic insights to senior leadership.
Ability to collaborate with internal teams, external contributors, and the broader open-source community.

Responsibilities

Build and scale the Open Data Platform.
Work across environments including Hadoop, Kubernetes, Snowflake, Databricks, and multi-cloud platforms.
Take end-to-end responsibility for work on the platform.

Desired Qualifications

Experience contributing to open-source projects within the Apache ecosystem is ideal.
Proficiency in programming languages such as Java, Python, Scala, or Go.
Experience with distributed computing and high-performance applications.

About the Role: We’re hiring a software engineer to build and scale the Acceldata Open Data Platform (ODP) - an enterprise-grade, open-source, aligned platform that powers cloud, hybrid, and on-premises environments. You’ll work on deep technology challenges, from distributed systems to observability, helping global customers modernise their platforms without lock-in.

This role offers the opportunity to build cutting-edge data solutions, influence the open-source ecosystem, and collaborate with industry experts. Your contributions will have a lasting impact on both the data platform and the broader open-source community.

What You’ll Do

4+ years of experience in software engineering, with at least 2-3 years actively contributing to open-source projects, ideally within the Apache ecosystem.

Proficiency in programming languages such as Java, Python, Scala, or Go is preferred. Experience with distributed computing and high-performance applications is also highly desired.
Work across diverse environments: Hadoop, Kubernetes, Snowflake, Databricks, and multi-cloud platforms.

What We’re Looking For

Ability to work in fast-moving, customer-facing environments where impact is direct and visible.
Strong coding, debugging, and troubleshooting skills to resolve issues, enhance software applications, and ensure smooth deployment.
Communicate effectively with senior leadership, presenting technical accomplishments and strategic insights.
Strong ability to collaborate with internal teams, external contributors, and the broader open-source community.

Why Join Us

•Impact at scale: Work on critical systems for Fortune 500 companies.

•Open & modern stack: No vendor lock-in, Apache-aligned innovation.

•Learning & growth: Solve problems across performance, reliability, cost, and cloud adoption.

•Flexibility: Cloud, hybrid, and on-prem - ODP is designed for today’s enterprise reality.

•Ownership: You’ll have end-to-end responsibility, not ticket-taking.

About the Company

Acceldata

Data observability platform improving data reliability

Acceldata provides a data observability platform for data teams to improve data reliability, monitor data health, and optimize large data infrastructures while reducing costs. It uses machine learning-driven automation to detect issues, perform data quality checks, and deliver actionable insights, integrating with existing data stacks through features like Spend Intelligence, Data Reliability, and Operational Intelligence. The platform differentiates itself by combining data quality, reliability, and cost optimization in one solution for sizable data environments and transitions to open-source technologies, not just monitoring. Its goal is to help organizations maximize the value of their data investments by making data reliable, affordable, and ready for decision-making.

Company size: 201-500
Company stage: Series C
Total funding: $105.6M
Headquarters: Campbell, CA
Founded: 2018

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